Job Title: Data Engineer (Intermediate)
Location: Remote (EST or CST only)
Experience Level: Intermediate (46 years)
Schedule: 8:00 AM 5:00 PM CT (Flexible)
Employment Type: Contract
Pay Rate: $68.50/hr W2
About the Role
We are seeking an experienced Data Engineer with strong data architecture and cloud engineering skills to support large-scale data processing, pipeline development, and Snowflake-driven analytics. This is an excellent opportunity for individuals eager to work in a dynamic environment with modern data technologies across AWS, Snowflake, and CI/CD frameworks.
Top Required Skillsets
1. Data Architecture & Modeling
2. Data Pipeline Engineering & Integration
3. Cloud & Data Platform Efficiency
Nice-to-Have Skills
Role Responsibilities
In this role, you will:
Design and implement scalable distributed data processing and analytical infrastructures.
Define data storage, backup, recovery, and management solutions for high-performance enterprise environments.
Develop automated deployment capabilities across distributed platforms.
Establish structural data standards and ensure compliance across environments.
Monitor system performance, troubleshoot issues, and implement optimization solutions.
Lead the development of best practices, standards, and operational processes.
Ensure data accuracy, availability, and performance across systems.
Handle enhancement requests, bug fixes, and modifications based on business needs.
What You Need to Succeed
Strong experience with Hadoop ecosystem technologies (MapReduce, Spark, Hive, Presto, Pig)
Background in SQL-based databases (Oracle, PostgreSQL, MySQL)
Python or equivalent programming language proficiency
Understanding of NoSQL databases (Cassandra, MongoDB)
Experience building distributed and cloud-native data pipelines
Knowledge of data warehousing concepts
Familiarity with API standards and modern data integration practices
Strong communication, customer service, and problem-solving skills
Ability to work in a fast-paced, evolving environment
Agile/Scrum methodology experience
Comfortable with the physical requirements of a senior data engineering role (extended computer use)
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